Wednesday, June 8, 2011

SAS for Monte Carlo Studies: A Guide for Quantitative Researchers

SAS for Monte Carlo Studies: A Guide for Quantitative Researchers

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Product Description

With the combination of powerful built-in statistical procedures and versatile programming capabilities, SAS is ideal for conducting Monte Carlo simulation research. Quantitative researchers will find this book attractive for its practicality and for its many hands-on application examples of Monte Carlo research.

SAS for Monte Carlo Studies: A Guide for Quantitative Researchers Review

I found this book extremely helpful for handling stochasticity with SAS/STAT environment. I have been working on spreadsheets (simulation add-ins) until now for financial modeling but obviously Excel has got limits. SAS has got the best of both worlds - you can write codes for advanced statistics and model a project capturing stochastic and deterministic variables which is why it is better choice than VBA+Excel+Add-ins(like @RISK). Apart from that book is very well written. It is always a pleasure to read scripts of creators themselves. For people in finance this is very helpful if purchased alongwith 'Using SAS in Financial Research'.

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